One crucial direction to explore in future work is the relationship between domain-content disentanglement and the notion of invariant risk [1]} in the context of causal inference. Designing methods that can separate confounding environmental factors (domain) from the factors of interest (content) would lead to significant innovations in many research fields, especially in the study of medical counterfactuals. The method presented here is not yet able to perform such separation in the case where content distributions vary across domains, since it uses the homogeneity across domains as a proxy for identifying content factors.
